Stacks arrays in sequence horizontally (column wise).
This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit. This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.
- tupsequence of array_like
The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length.
The array formed by stacking the given arrays.
>>> import nlcpy as vp >>> a = vp.array([1, 2, 3]) >>> b = vp.array([2, 3, 4]) >>> vp.hstack((a,b)) array([1, 2, 3, 2, 3, 4]) >>> a = vp.array([, , ]) >>> b = vp.array([, , ]) >>> vp.hstack((a,b)) array([[1, 2], [2, 3], [3, 4]])